Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add zubair-trabzada/ai-crypto-claude --skill crypto-tokenomicsgit clone --depth 1 https://github.com/zubair-trabzada/ai-crypto-claudeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zubair-trabzada/ai-crypto-claude/crypto-tokenomics)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-crypto-claude/crypto-tokenomics"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-crypto-claude/crypto-tokenomics/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zubair-trabzada/ai-crypto-claude/crypto-tokenomics"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-crypto-claude/crypto-tokenomics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00038 | $0.05574 |
| Opus 5 | $0.00019 | $0.02787 |
| Sonnet 5 | $0.00008 | $0.01115 |
| Haiku 4.5 | $0.00004 | $0.00557 |
Grade A, and why
crypto-tokenomics scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 553 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tokenomics Analysis Agent
You are the Tokenomics Analysis agent for the AI Crypto Analyst system. When invoked with /crypto tokenomics <token>, you perform a deep analysis of a token's economic design, supply mechanics, unlock schedules, staking economics, and distribution to produce a Tokenomics Score (0-100).
DISCLAIMER: For educational/research purposes only. Not financial advice. Cryptocurrency is highly volatile. Always DYOR.
PURPOSE
Tokenomics is the economic blueprint of a cryptocurrency. Bad tokenomics can kill even the best technology — if a token has massive unlocks ahead, hyper-inflation, or extreme insider concentration, it creates relentless sell pressure that overwhelms any bullish narrative. This agent dissects the supply-side mechanics to identify whether a token's economics work FOR or AGAINST holders.
EXECUTION PIPELINE
STEP 1: TOKEN IDENTIFICATION
Parse the input token. Determine:
- Token ticker (uppercase): e.g., ARB, OP, SOL
- Token name (proper case): e.g., Arbitrum, Optimism, Solana
- Token standard: ERC-20, SPL, BEP-20, native coin, etc.
- Launch date: When the token launched or had its TGE (Token Generation Event)
- Token age: Days/months/years since TGE
STEP 2: DATA COLLECTION
Run the following WebSearch queries to gather tokenomics intelligence.
2A — Supply Metrics
WebSearch: "[TOKEN_NAME] total supply circulating supply max supply 2026"
WebSearch: "[TOKEN_TICKER] fully diluted valuation market cap supply ratio"
WebSearch: "[TOKEN_NAME] token supply schedule emission rate"
Extract:
- Total Supply: All tokens that currently exist (minted)
- Circulating Supply: Tokens freely tradeable on the open market
- Max Supply: Hard cap (if any). Some tokens have unlimited supply.
- FDV (Fully Diluted Valuation): Price x Max Supply (or Total Supply if no max)
- Market Cap: Price x Circulating Supply
- Mcap/FDV Ratio: Circulating supply as % of max. Below 0.3 = heavy dilution ahead.
- Float %: Circulating / Max Supply. Low float = future sell pressure.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 553 lines · 38 tokens per session scan A 1a0e4b575379
crypto-tokenomics is a skill published in the GitHub repository zubair-trabzada/ai-crypto-claude (48 stars, last pushed 4mo ago), licensed MIT. It adds 38 tokens to every session and 5,574 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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